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Approaches to reducing gear mass and their effects on gearing stresses and deformations

Published online by Cambridge University Press:  16 May 2024

Dorian Vlašićek ,
Daniel Miler ,
Robert Mašović  and
Dragan Žeželj
Dorian Vlašićek
Affiliation:
University of Zagreb Faculty of Mechanical Engineering and Naval Architecture, Croatia
Daniel Miler
Affiliation:
University of Zagreb Faculty of Mechanical Engineering and Naval Architecture, Croatia
Robert Mašović
Affiliation:
University of Zagreb Faculty of Mechanical Engineering and Naval Architecture, Croatia
Dragan Žeželj*
Affiliation:
University of Zagreb Faculty of Mechanical Engineering and Naval Architecture, Croatia
*
dzezelj@fsb.hr

Abstract

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This study compares empirical and topology optimization methods for reducing gear body mass. Specimens produced via empirical guidelines and topology optimization were compared to referent full-disc gear, focusing on stresses and deformations. Values were determined numerically (Ansys was used) and the calculation method was verified using ISO 6336. The empirical approach exhibited substantial increases in stress and deformation while topology optimization method had promising outcomes. While decreasing mass, it also diminished tooth root stress on the tensile side by 17.1%.

Keywords

topological optimisation3D modellinggearsmass reduction
Type
Engineering Design Practice
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 3033 - 3040
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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